ArticleNeuro-oncology2021
DNA methylation-based signatures classify sporadic pituitary tumors according to clinicopathological features.
Article in Neuro-oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- DNA methylation as a predictor of pituitary neuroendocrine tumour behaviour: A systematic review.Journal of neuroendocrinology · 2026Pooled it
- Genetic testing in pituitary adenomas: a Pituitary Society International Consensus Statement.Nature reviews. Endocrinology · 2026Review
- The role of methylation in pituitary neuroendocrine tumors current insights and emerging perspectives.Molecular biology reports · 2026Review
- DNA methylation profiling predicts postsurgical regrowth in SF1-lineage nonfunctioning pituitary neuroendocrine tumors.Neuro-oncology · 2026Article
- Mixed gangliocytoma-pituitary neuroendocrine tumour: clinical, immunohistochemical, and molecular genetic profiles in a series of four patients.Acta neuropathologica communications · 2026Article
- Article
- DNA methylation profiling of pituitary neuroendocrine tumors identifies distinct clinical and pathological subtypes based on epigenetic differentiation.Neuro-oncology · 2025Article
- Current understanding of the role of DNA methylation in pituitary neuroendocrine tumors.Neuro-oncology advances · 2025Article
- Molecular signatures of invasive and non-invasive pituitary adenomas: a comprehensive analysis of DNA methylation and gene expression.BMC medicine · 2025Article
- Transcription factor-based classification of pituitary adenomas / PitNETs: a comparative analysis and clinical implications across WHO 2004, 2017 and 2022 in 921 cases.Acta neuropathologica communications · 2025Article
- Review
- Comparative epigenomics indicate a common origin of ectopic and intrasellar corticotroph pituitary neuroendocrine tumors/adenomas: a case report.Virchows Archiv : an international journal of pathology · 2025Article
- DNA Methylation in Pituitary Adenomas: A Scoping Review.International journal of molecular sciences · 2025Article
- The 5th Edition of the WHO Classification of Pituitary Tumors: Strengths and limitations.Brain pathology (Zurich, Switzerland) · 2025Article
- The evolution and application of multi-omic analysis for pituitary neuroendocrine tumors.Frontiers in medicine · 2025Review
- The 2022 WHO classification of tumors of the pituitary gland: An update on aggressive and metastatic pituitary neuroendocrine tumors.Brain pathology (Zurich, Switzerland) · 2025Review
- Genome-wide methylation profiling differentiates benign from aggressive and metastatic pituitary neuroendocrine tumors.Acta neuropathologica · 2024Article
- Genome-Wide DNA Methylation Profiling as a Prognostic Marker in Pituitary Adenomas-A Pilot Study.Cancers · 2024Article
- A rare case of double pituitary prolactinomas: the diagnostic application of intraoperative ultrasonography and DNA methylation markers.Archives of endocrinology and metabolism · 2024Article
- Detection of diagnostic and prognostic methylation-based signatures in liquid biopsy specimens from patients with meningiomas.Nature communications · 2023Article
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Authors and funding
20 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundDistinct genome-wide methylation patterns cluster pituitary neuroendocrine tumors (PitNETs) into molecular groups associated with specific clinicopathological features. Here we aim to identify, characterize, and validate methylation signatures that objectively classify PitNET into clinicopathological groups.
methodsCombining in-house and publicly available data, we conducted an analysis of the methylome profile of a comprehensive cohort of 177 tumors (Panpit cohort) and 20 nontumor specimens from the pituitary gland. We also retrieved methylome data from an independent PitNET cohort (N = 86) to validate our findings.
resultsWe identified three methylation clusters associated with adenohypophyseal cell lineages and functional status using an unsupervised approach. Differentially methylated probes (DMP) significantly distinguished the Panpit clusters and accurately assigned the samples of the validation cohort to their corresponding lineage and functional subtypes memberships. The DMPs were annotated in regulatory regions enriched with enhancer elements, associated with pathways and genes involved in pituitary cell identity, function, tumorigenesis, and invasiveness. Some DMPs correlated with genes with prognostic and therapeutic values in other intra- or extracranial tumors.
conclusionsWe identified and validated methylation signatures, mainly annotated in enhancer regions that distinguished PitNETs by distinct adenohypophyseal cell lineages and functional status. These signatures provide the groundwork to develop an unbiased approach to classifying PitNETs according to the most recent classification recommended by the 2017 WHO and to explore their biological and clinical relevance in these tumors.
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